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Article

Boosting a weak learning algorithm by majority

Published: 01 July 1990 Publication History

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cover image ACM Conferences
COLT '90: Proceedings of the third annual workshop on Computational learning theory
July 1990
395 pages
ISBN:1558601465
  • Editors:
  • Mark Fulk,
  • John Case

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Publisher

Morgan Kaufmann Publishers Inc.

San Francisco, CA, United States

Publication History

Published: 01 July 1990

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COLT90
Sponsor:
COLT90: 3rd Annual Workshop on Computational Learning Theory
August 6 - 8, 1990
New York, Rochester, USA

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Overall Acceptance Rate 35 of 71 submissions, 49%

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  • (2018)Tree-based modelling for the classification of mammographic benign and malignant micro-calcification clustersMultimedia Tools and Applications10.1007/s11042-017-4522-377:5(6135-6148)Online publication date: 1-Mar-2018
  • (2018)The robustness of majority voting compared to filtering misclassified instances in supervised classification tasksArtificial Intelligence Review10.1007/s10462-016-9518-249:1(105-130)Online publication date: 1-Jan-2018
  • (2016)A Comparative Evaluation of Curriculum Learning with Filtering and Boosting in Supervised Classification ProblemsComputational Intelligence10.1111/coin.1204732:2(167-195)Online publication date: 1-May-2016
  • (2014)Ensemble learning from multiple information sources via label propagation and consensusApplied Intelligence10.1007/s10489-013-0508-741:1(30-41)Online publication date: 1-Jul-2014
  • (2013)Multi-label automatic indexing of music by cascade classifiersWeb Intelligence and Agent Systems10.5555/2590084.259008811:2(149-170)Online publication date: 1-Apr-2013
  • (2013)Evolutionary extreme learning machine ensembles with size controlNeurocomputing10.1016/j.neucom.2011.12.046102(98-110)Online publication date: 1-Feb-2013
  • (2013)A deterministic resampling method using overlapping document clusters for pseudo-relevance feedbackInformation Processing and Management: an International Journal10.1016/j.ipm.2013.01.00149:4(792-806)Online publication date: 1-Jul-2013
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